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Linzhe Shi

2 accepted papers

2026

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving

ICML 2026poster

End-to-end autonomous driving systems are increasingly integrating Vision-Language Model (VLM) architectures, incorporating text reasoning or visual reasoning to enhance the robustness and accuracy of driving decisions. However, the reasoning mechanisms employed in most methods are direct adaptation…

Cited by 0SourceScholar
2026

MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving

CVPR 2026

Vision-Language Models (VLM) exhibit strong reasoning capabilities, showing promise for end-to-end autonomous driving systems. Chain-of-Thought (CoT), as VLM's widely used reasoning strategy, is facing critical challenges. Existing textual CoT has a large gap between text semantic space and trajecto

Cited by 0SourcecodeScholar